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Primer for Data Analytics and Graduate Study in Statistics

study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on;

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Primer for Data Analytics and Graduate Study in Statistics

study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on;

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Fundamentals of Predictive Analytics with JMP, Second Edition

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions;

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Fundamentals of Predictive Analytics with JMP, Second Edition

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions;

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Knowledge Graphs and Big Data Processing

of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and;

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Introductory Statistics and Analytics

provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic;

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Statistics in MATLAB

analysis. Statistics in MATLAB: A Primer is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics;

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Statistics in MATLAB

analysis Statistics in MATLAB: A Primer is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics;

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Algorithms for Data Science

domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to;

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Algorithms for Data Science

domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications;

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Analytics for Retail

Examine select retail business scenarios to learn basic mathematics, as well as probability and statistics required to analyze big data;

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Analytics for Retail

Examine select retail business scenarios to learn basic mathematics, as well as probability and statistics required to analyze big data;

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ISE Business Statistics and Analytics in Practice

topics that allow students to use data for a more applied and practical approach. Featuring Connect, Smartbook, Guided examples, Algorithmic;

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Public Policy Analytics

data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop;

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Public Policy Analytics

data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop;

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Handbook of Big Data Analytics

is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics;

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Handbook of Big Data Analytics

is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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Data Mining For Business Analytics

data sets, exercises and case study solutions, and slides for instructors Data Mining for Business Analytics: Concepts, Techniques, and;

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Style and Statistics

A non-technical guide to leveraging retail analytics for personal and competitive advantage Style & Statistics is a real-world guide to;

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Even You Can Learn Statistics and Analytics

exercises and contains updated instructions for using Microsoft Excel. You'll use downloadable data sets and spreadsheet solutions, template-based;

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Handbook of Neuroimaging Data Analysis

-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology;

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Law as Data

In recent years, the digitization of legal texts and developments in the fields of statistics, computer science, and data analytics have;

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Predictive Analytics in Human Resource Management

neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant;

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Predictive Analytics in Human Resource Management

neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant;

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Big Data and Health Analytics

learned from the case studies, the book supplies readers with the foundation required for further specialized study in health analytics and data;

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